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Full list of all 52 handbook files.
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← Awesome AI Handbook Β· πŸ‡·πŸ‡Ί Русский

Zero Level β€” basics/

# File Description Time
1 README Three learning paths (5 min / 30 min / 2 h) β€”
2 what-is-ai AI, ML, LLM β€” without math 5 min
3 how-models-work How neural networks work (by analogy) 10 min
4 cloud-vs-local ChatGPT vs local models 5 min
5 hardware-guide Hardware requirements: RAM, VRAM, quantization 5 min
6 glossary Glossary: 35+ terms from agent to embeddings ∞
7 faq 15+ common beginner questions 5 min
8 learning-path 10 steps: from first chat to AI agent 10 min
9 setup-windows Installing Ollama on Windows (native / WSL2) 10 min
10 setup-linux Installing Ollama on Linux (CPU / CUDA / Docker) 10 min

Local Models β€” local-models/

# File Description Level Time
11 README Scenarios: beginner β†’ advanced β€” β€”
12 getting-started Full Mac guide: Homebrew, Ollama, first model 10 min
13 running-models Finding and running models: Ollama, LM Studio, HuggingFace 15 min
14 models Choosing a model for your task: coding, chat, RAG 10 min
15 catalog 50+ open-weight LLMs with specs β€”
16 quantization Quantization: Q4, Q5, Q8 β€” compression without quality loss 10 min
17 memory-and-context RAM, KV cache, context β€” which model fits your hardware 10 min
18 tools Engine comparison: Ollama, LM Studio, MLX, llama.cpp 20 min
19 advanced-setup Modelfile, API, parallel requests, env vars 15 min
20 troubleshooting Common issues and solutions 5 min
21 apple-silicon Apple Silicon benchmarks: tok/s on M1–M4 5 min

AI Agents β€” agents/

# File Description Level Time
22 README Section overview + minimal agent code β€” β€”
23 ready-made Ready-made AI agents: Aider, Cline, Cursor, OpenHands 7 min
24 orchestrators Sub-agent orchestrators: Sisyphus, Atlas, Prometheus 6 min
25 skills Skills, MCP servers, plugins β€” extending agents 6 min
26 architecture Agent architecture: LLM β†’ tools β†’ loop β†’ memory 11 min
27 patterns Architectural patterns: ReAct, Plan-and-Execute, Reflection 14 min
28 frameworks Framework comparison: LangGraph, CrewAI, Agno 12 min
29 multi-agent Multi-agent communication and coordination 18 min
30 memory Long-term memory: context, storage, retrieval 9 min
31 prompting System prompts for agent behavior control 11 min
32 ollama-for-agents Tool calling, JSON schema, structured output via Ollama 10 min
33 safety Safety: guardrails, limits, isolation, validation 16 min
34 evaluation Agent quality evaluation, regression testing 10 min

Tutorials β€” agents/tutorials/

# File Description Level Time
35 README Tutorial index β€” β€”
36 01-first-agent ReAct agent in Python + Ollama 30 min
37 02-agent-team Multi-agent team (CrewAI) 60 min
38 03-coding-agent Coding agent (LangGraph) 45 min

Use Cases β€” use-cases/

# File Description Stack Time
39 README Cases overview β€” β€”
40 coding Free Copilot on a local model Continue, Aider, OpenHands 5 min
41 rag Q&A on your files without the cloud Open WebUI, ChromaDB 7 min
42 automation AI + business processes n8n, cron, Telegram bot 7 min
43 writing Content pipeline: generation, reflection Qwen, Reflection 6 min

Resources β€” resources/

# File Description Audience Time
44 README Resource index β€” β€”
45 ru Russian AI resources All 3 min
46 en English resources 3 min
47 courses Free AI courses 3 min
48 communities Discord, Reddit, Telegram chats All 3 min

Root Files

# File Description
49 CONTRIBUTING How to contribute
50 CODE_OF_CONDUCT Code of conduct
51 SECURITY Security policy

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